Predicting immune response

Abstract

Systems, methods, and non-transitory computer-readable storage media for gathering activity data describing a user's activities from one or more activity sensors and using the activity data to predict immune-response to the activity. Predicting immune-response can involve creating, personalizing, and refining immune-response prediction models based on demographic user data, activity data, blood sample data, personal genetic information.

1 . An apparatus comprising:
 an activity sensor coupled with a processor, a communication interface and a memory storing instructions that, when executed by the processor, cause the apparatus to:
 create a recommended baseline activity regimen for achieving at least one immunity-related goal; 
 determine when activity data indicates a user activity that deviates from the recommended baseline activity regimen to a predetermined threshold degree; and 
 provide feedback to the user for correcting the deviation from the recommended baseline activity regimen. 
   
     
     
         2 . The apparatus of  claim 1 , wherein the communication interface is configured to receive self-reported user information, and wherein the recommended baseline activity regimen is created using the self-reported user information as a factor. 
     
     
         3 . The apparatus of  claim 1 , further comprising:
 a display coupled with the processor, wherein the memory stores further instructions that, when executed by the processor, cause the display to display a representation of the recommended baseline activity regimen and a representation of the activity data.   
     
     
         4 . The apparatus of  claim 1 , wherein the memory further stores instructions that, when executed by the processor, cause the display to display a feedback element for providing feedback to the user for correcting the deviation from the recommended baseline activity regimen. 
     
     
         5 . The apparatus of  claim 1 , wherein the at least one immunity-related goal comprises at least one of immune cell or progenitor mobilization, altering circulation rates of one of immune cells or progenitors, changes in absolute or relative abundance of immune cell types in circulation, alterations in one of abundance or localization of immune cell proteins, changes in RNA expression, and alterations of immune cell structure. 
     
     
         6 . The apparatus of  claim 1 , wherein the activity data comprises at least one of heart rate, acceleration, blood pressure, external temperature, body temperature, geographical location, pressure, skin conductance, blood oxygen level, and glucose level. 
     
     
         7 . A method comprising:
 receiving, by at least one processor, self-reported user input data;   creating, by the at least one processor, a recommended baseline activity regimen based on the self-reported user input data;   receiving, by the at least one processor, from an activity sensor, activity data for the user;   determining, by the at least one processor, that the activity data indicates an activity that deviates from the recommended baseline activity regimen to a predetermined threshold degree; and   providing, by the at least one processor, feedback to the user regarding the deviation from the recommended baseline activity regimen.   
     
     
         8 . The method of  claim 7 , further comprising:
 receiving, from the user, consent to retrieve personal medical information about the user from a computing device; and   retrieving, from the computing device, the personal medical information about the user.   
     
     
         9 . The method of  claim 8 , wherein the personal medical information includes blood sample analysis data. 
     
     
         10 . The method of  claim 9 , further comprising:
 personalizing the recommended baseline activity regimen based on the blood sample analysis data to create an updated activity regimen that increases the mobilization of at least one specific blood cell.   
     
     
         11 . The method of  claim 10 , wherein the blood sample analysis data comprises data for multiple blood draws performed over a period of time, the method further comprising:
 personalizing the recommended baseline activity regimen to create an updated activity regimen that increases a mobilization stacking effect on blood cell mobilization.   
     
     
         12 . The method of  claim 8 , wherein the personal medical information includes the personal genetic information including at least one of single nucleotide polymorphism data and full genetic sequencing data. 
     
     
         13 . The method of  claim 7 , wherein creating a recommended baseline activity regimen based on the self-reported user input data further comprises:
 creating a blood mobilization model from clinical data for a sample of a population; and   inputting the self-reported user information into the blood mobilization model.   
     
     
         14 . The method of  claim 7 , wherein creating a recommended baseline activity regimen based on the self-reported user input data further comprises:
 transmitting the self-reported user information to a computing device that creates a recommended baseline activity regimen by inputting the self-reported user information into a mobilization prediction model; and   receiving the recommended baseline activity regimen from the computing device.   
     
     
         15 . The method of  claim 7 , wherein receiving, from an activity sensor, activity data for the user further comprises:
 receiving the activity data from at least one of a heart rate monitor, an accelerometer, a blood pressure monitor, an external temperature monitor, a body temperature monitor, a location tracking system, a pressure sensor, a skin conductance sensor, and a blood oxygen level sensor.   
     
     
         16 . An apparatus comprising:
 a display configured to display a user interface for receiving user information;   a prediction engine comprising a processor and a memory storing instructions that, when executed by the processor, cause the apparatus to:
 create a personalized immune-response model for a user, which is based on a clinically created immune-response model for a particular statistical population associated with the user and based on personal medical information associated with the user, the clinically created immune-response model for the user selected from a plurality of clinically created immune-response models for a plurality of statistical populations, wherein the statistical populations are defined by personal medical information comprising at least one of age, sex, height, weight, personal genetic information comprising at least one of single nucleotide polymorphism data, full genetic sequencing data, and blood sample analysis data, and the plurality of clinically created immune-response models each indicate a correlation for a particular statistical population between clinically measured activity data and at least one clinically measured immunity-related goal, 
 the activity data comprising at least one of heart rate, acceleration, blood pressure, external temperature, body temperature, geographical location, pressure, skin conductance, blood oxygen level, and glucose level, and 
 and the at least one immunity-related goal comprising at least one of immune cell or progenitor mobilization, altering circulation rates of one of immune cells or progenitors, changes in absolute or relative abundance of immune cell types in circulation, alterations in one of abundance or localization of immune cell proteins, changes in RNA expression, and alterations of immune cell structure. 
   
     
     
         17 . The apparatus of  claim 16 , wherein the instructions when executed by the processor further cause the apparatus to:
 identify, based on the user information, the particular statistical population associated with the user and request the clinically created immune-response model for the particular statistical population associated with the user;   identify, based on the personalized immune-response model, an activity that is predicted to produce a blood mobilization response for the user; and
 display at least one user interface element representing the activity and the predicted blood mobilization response. 
   
     
     
         18 . The apparatus of  claim 17 , further comprising an activity sensor coupled with the processor, the activity sensor configured to receive activity data from the user that describes a user activity, wherein the instructions when executed by the processor further cause the apparatus to:
 determine, based on the personalized immune-response model and the activity data, a predicted effect that the activity data has on the predicted blood mobilization response; and   modify the at least one user interface element based on the predicted effect that the received activity data is predicted to have on the predicted blood mobilization response.   
     
     
         19 . The apparatus of  claim 18 , further comprising a communication interface configured to retrieve blood sample data from a computing device, wherein the blood sample data is derived from a baseline blood sample for the user and a blood sample obtained from the user after the user performed the user activity, wherein the instructions when executed by the processor further cause the apparatus to:
 determine, based on the blood sample data, a correlation between the user activity and an actual blood mobilization response observed in the blood sample data; and   modify the personalized immune-response model based on the correlation between the user activity and the actual blood mobilization response.   
     
     
         20 . The apparatus of  claim 19 , wherein the instructions when executed by the processor further cause the apparatus to:
 compare the correlation between the user activity and the actual blood mobilization response to the clinically created immune-response model for the statistical population; and   determine an activity modification, based on the comparison, that will predictively increase the blood mobilization response of the activity for the user; and   display the at least one user interface element that indicates the activity modification.   
     
     
         21 . The apparatus of  claim 20 , further comprising a communication interface configured to retrieve blood sample data from a computing device, wherein the blood sample data is derived from multiple baseline blood samples for the user and multiple blood samples obtained from the user after the user performed the user activity multiple times over a period of time, wherein the instructions when executed by the processor further cause the apparatus to:
 determine, based on the blood sample data, a correlation between the user activity and an actual blood mobilization response observed in the blood sample data; and   modify the personalized immune-response model based on the correlation between the user activity and the actual blood mobilization response.